Pub Date : 2022-06-01DOI: 10.3724/sp.j.1006.2022.12029
Xiao-long Zheng, Jin-Jian Zhou, Yang Bai, Yawen Shao, Linping Zhang, P. Hu, Xiang-Jin Wei
{"title":"Difference and molecular mechanism of soluble sugar metabolism and quality of different rice panicle in <italic>japonica</italic> rice","authors":"Xiao-long Zheng, Jin-Jian Zhou, Yang Bai, Yawen Shao, Linping Zhang, P. Hu, Xiang-Jin Wei","doi":"10.3724/sp.j.1006.2022.12029","DOIUrl":"https://doi.org/10.3724/sp.j.1006.2022.12029","url":null,"abstract":"","PeriodicalId":52132,"journal":{"name":"Acta Agronomica Sinica(China)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42204093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
: The phenotypic values for quantitative trait from bi-parental segregation populations can be used to identify its mixed major genes plus polygenes inheritance model, which provides important information for the genetic basis of quantitative traits and crop breeding. To comprehensively summarize the research results of methodological advances, add the new functions of the software and correct its shortcomings in previous versions, an R software package SEA v2.0 with interactive graphical user inter-face is developed under R studio–1.4.1103 platform and R environment. In this software, there were 14 types of bi-parental segregation populations, and each type included four modules: data input, data analysis, posterior probability calculation, and distribution curve drawing. To save running time, doParallel was used to conduct parallel computing, data.table was used to quickly read and write datasets, and MASS was used to estimate the parameters in component distributions. KScorrect, kolmim, and shiny packages were used to simplify the programs. As long as users uploaded the data file with *.csv format and set the related parameters, the results could be quickly displayed. The software was validated by real data analysis of soybean podding habit and Monte Carlo simulation studies, and can be downloaded from https://cran.r-project.org/web/packages/SEA/index.html.
{"title":"SEA v2.0: an R software package for mixed major genes plus polygenes inheritance analysis of quantitative traits","authors":"Jing-Tian Wang, Ya-Wen Zhang, Yingying Du, Wen-Long Ren, Hong-Fu Li, Wenying Sun, Chao Ge, Yuan-Ming Zhang","doi":"10.3724/sp.j.1006.2022.14088","DOIUrl":"https://doi.org/10.3724/sp.j.1006.2022.14088","url":null,"abstract":": The phenotypic values for quantitative trait from bi-parental segregation populations can be used to identify its mixed major genes plus polygenes inheritance model, which provides important information for the genetic basis of quantitative traits and crop breeding. To comprehensively summarize the research results of methodological advances, add the new functions of the software and correct its shortcomings in previous versions, an R software package SEA v2.0 with interactive graphical user inter-face is developed under R studio–1.4.1103 platform and R environment. In this software, there were 14 types of bi-parental segregation populations, and each type included four modules: data input, data analysis, posterior probability calculation, and distribution curve drawing. To save running time, doParallel was used to conduct parallel computing, data.table was used to quickly read and write datasets, and MASS was used to estimate the parameters in component distributions. KScorrect, kolmim, and shiny packages were used to simplify the programs. As long as users uploaded the data file with *.csv format and set the related parameters, the results could be quickly displayed. The software was validated by real data analysis of soybean podding habit and Monte Carlo simulation studies, and can be downloaded from https://cran.r-project.org/web/packages/SEA/index.html.","PeriodicalId":52132,"journal":{"name":"Acta Agronomica Sinica(China)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45774616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-01DOI: 10.3724/sp.j.1006.2022.13021
Jing Chen, Baizhao Ren, Bin Zhao, Peng Liu, Jiwang Zhang
{"title":"Regulation of leaf-spraying glycine betaine on yield formation and antioxidation of summer maize sowed in different dates","authors":"Jing Chen, Baizhao Ren, Bin Zhao, Peng Liu, Jiwang Zhang","doi":"10.3724/sp.j.1006.2022.13021","DOIUrl":"https://doi.org/10.3724/sp.j.1006.2022.13021","url":null,"abstract":"","PeriodicalId":52132,"journal":{"name":"Acta Agronomica Sinica(China)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45839668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-01DOI: 10.3724/sp.j.1006.2022.14091
S. Chen, Yijuan Ding, Jun-Ming Sun, D. Huang, Nan Yang, Yu-Han Dai, Huafang Wan, W. Qian
{"title":"Genome-wide identification of <italic>BnCNGC</italic> and the gene expression analysis in <italic>Brassica napus</italic> challenged with <italic>Sclerotinia sclerotiorum</italic> and PEG-simulated drought","authors":"S. Chen, Yijuan Ding, Jun-Ming Sun, D. Huang, Nan Yang, Yu-Han Dai, Huafang Wan, W. Qian","doi":"10.3724/sp.j.1006.2022.14091","DOIUrl":"https://doi.org/10.3724/sp.j.1006.2022.14091","url":null,"abstract":"","PeriodicalId":52132,"journal":{"name":"Acta Agronomica Sinica(China)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46973285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
: Rapeseed ( Brassica napus L.) is the major edible oil crop in China, and it is also a kind of crop for land use and main-tenance, crop rotation, and fallow. With the promotion of of and different industrial objectives of demand characteristics of the existing rapeseed the high fertilization levels, whereas it cannot meet the needs of green manure with low fertilizer input. Therefore, the evaluation and screening of rapeseed germplasms with low nitrogen (N) tolerance can provide material support for breeding rapeseed cultivars as green manure. In this study, 73 rapeseed germplasms were planted at two N levels (low N and normal N) in the field experiment, the potential application as green manure of different rapeseed germplasms were evaluated by fresh weight, nutrient accumulation, and tolerance index at full flowering stage. Results showed that the change of fresh weight per plant for 73 rapeseed germplasms under low N conditions ranged from 29.33 g to 199.33 g, and the variation coefficient was 30.0%. Meanwhile, under low N stress, the change of N accumulation in shoot and root of 73 rapeseed germplasms were ranged from 48.67–360.43 mg and 4.21–67.46 mg per plant, and the variation coefficient were 31.0% and 53.0%, respectively. This mean that there were certain genetic varia-tions biomass and nutrient absorption and accumulation ability among different rapeseed germplasms. Therefore, it was feasible to select the rapeseed germplasm with superior advantages as green manure. According to the comprehensive analysis of N efficiency and tolerance index of different rapeseed germplasms at full-bloom stage, 25 of 73 rapeseed germplasms had relatively strong tolerance to low N, while 17 germplasms had relatively poor tolerance to low N, belonging to low N sensitive type. Further analysis revealed that the fresh weight per plant, N accumulation, and N uptake efficiency of low N tolerance germplasms were significantly greater than those of low N sensitive germplasms under two N treatments, it could be used as potential green manure for further application. According to the calculation, the maximum amount of N returned to the field in the low N tolerance rapeseed germplasm was 80.2 kg hm 2 . Above all, the selected germplasms with great low N tolerance could be used as potential green manure rapeseed resources to be reserved and applied. In actual production, to better realize the industrial application goal of “the few fertilizers convert into the more green manure”, the application of low N tolerant rapeseed as green fertilizer can re-duce the input of chemical fertilizer.
{"title":"Screening of rapeseed germplasms with low nitrogen tolerance and the evaluation of its potential application as green manure","authors":"L. Qin, Peipei Han, Hai-Bin Chang, Chiming Gu, Wei Huang, Yin-shui Li, Xiangsheng Liao, Li-Hua Xie, Xing Liao","doi":"10.3724/sp.j.1006.2022.14087","DOIUrl":"https://doi.org/10.3724/sp.j.1006.2022.14087","url":null,"abstract":": Rapeseed ( Brassica napus L.) is the major edible oil crop in China, and it is also a kind of crop for land use and main-tenance, crop rotation, and fallow. With the promotion of of and different industrial objectives of demand characteristics of the existing rapeseed the high fertilization levels, whereas it cannot meet the needs of green manure with low fertilizer input. Therefore, the evaluation and screening of rapeseed germplasms with low nitrogen (N) tolerance can provide material support for breeding rapeseed cultivars as green manure. In this study, 73 rapeseed germplasms were planted at two N levels (low N and normal N) in the field experiment, the potential application as green manure of different rapeseed germplasms were evaluated by fresh weight, nutrient accumulation, and tolerance index at full flowering stage. Results showed that the change of fresh weight per plant for 73 rapeseed germplasms under low N conditions ranged from 29.33 g to 199.33 g, and the variation coefficient was 30.0%. Meanwhile, under low N stress, the change of N accumulation in shoot and root of 73 rapeseed germplasms were ranged from 48.67–360.43 mg and 4.21–67.46 mg per plant, and the variation coefficient were 31.0% and 53.0%, respectively. This mean that there were certain genetic varia-tions biomass and nutrient absorption and accumulation ability among different rapeseed germplasms. Therefore, it was feasible to select the rapeseed germplasm with superior advantages as green manure. According to the comprehensive analysis of N efficiency and tolerance index of different rapeseed germplasms at full-bloom stage, 25 of 73 rapeseed germplasms had relatively strong tolerance to low N, while 17 germplasms had relatively poor tolerance to low N, belonging to low N sensitive type. Further analysis revealed that the fresh weight per plant, N accumulation, and N uptake efficiency of low N tolerance germplasms were significantly greater than those of low N sensitive germplasms under two N treatments, it could be used as potential green manure for further application. According to the calculation, the maximum amount of N returned to the field in the low N tolerance rapeseed germplasm was 80.2 kg hm 2 . Above all, the selected germplasms with great low N tolerance could be used as potential green manure rapeseed resources to be reserved and applied. In actual production, to better realize the industrial application goal of “the few fertilizers convert into the more green manure”, the application of low N tolerant rapeseed as green fertilizer can re-duce the input of chemical fertilizer.","PeriodicalId":52132,"journal":{"name":"Acta Agronomica Sinica(China)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49228178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-01DOI: 10.3724/sp.j.1006.2022.14072
Yu-Kun Zhang, Ying Lu, Kan Cui, Shilong Xia, Zhonghua Liu
{"title":"Allelic variation and geographical distribution of <italic>TT8 </italic>for seed color in <italic>Brassica juncea </italic>Czern. et Coss.","authors":"Yu-Kun Zhang, Ying Lu, Kan Cui, Shilong Xia, Zhonghua Liu","doi":"10.3724/sp.j.1006.2022.14072","DOIUrl":"https://doi.org/10.3724/sp.j.1006.2022.14072","url":null,"abstract":"","PeriodicalId":52132,"journal":{"name":"Acta Agronomica Sinica(China)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43389189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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